Summary: The rapid accumulation of cancer genomic data across repositories such as ClinVar, cBioPortal, and the TCGA Pan-Cancer Atlas has created an urgent need for integrated tools that allow researchers to explore mutations in their structural and clinical context without requiring specialized bioinformatics expertise. Here we present OncoMORPHIA, a free, browser-based web platform that unifies 3D protein structure visualization, clinical variant annotation, drug-target interaction mapping, survival analysis, mutational signature decomposition, and AI-powered interpretation within a single interface. OncoMORPHIA automatically retrieves and integrates data from ten public databases, maps missense mutations onto experimentally determined or AlphaFold-predicted protein structures, computes mutation density heatmaps with Gaussian smoothing, and renders interactive visualizations including lollipop plots, Kaplan-Meier survival curves, protein-protein interaction networks, and pan-cancer tissue distribution charts. The platform supports 45 major cancer driver genes with extensibility to any human gene with available structural data. Availability: OncoMORPHIA is freely available at https://oncomorphia.com. Source code is available upon request. The platform requires no installation, no account registration, and no API keys for core functionality.
Identifying needs in adult rehabilitation to support the clinical implementation of robotics and allied technologies: an Italian national survey
IntroductionRobotics and technological interventions are increasingly being explored as solutions to improve rehabilitation outcomes but their implementation in clinical practice remains very limited. Understanding patient